Multimodal Info Integration for Precision Oncology: Challenges and Future Directions
Authors: Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen
Abstract: The essence of precision oncology lies in its dedication to tailor centered therapies and care measures to each affected particular person based mostly totally on the particular person traits of the tumor. The inherent heterogeneity of tumors necessitates gathering data from quite a few information sources to produce priceless insights from quite a few views, fostering a holistic comprehension of the tumor. Over the earlier decade, multimodal information integration experience for precision oncology has made important strides, showcasing excellent progress in understanding the intricate particulars inside heterogeneous information modalities. These strides have exhibited nice potential for bettering medical decision-making and model interpretation, contributing to the event of most cancers care and treatment. Given the speedy progress that has been achieved, we provide an entire overview of about 300 papers detailing cutting-edge multimodal information integration strategies in precision oncology. In addition to, we conclude the primary medical functions which have reaped important benefits, along with early analysis, evaluation, prognosis, and biomarker discovery. Lastly, derived from the findings of this survey, we present an in-depth analysis that explores the pivotal challenges and divulges necessary pathways for future evaluation throughout the topic of multimodal information integration for precision oncology.
